Catalog & Cocktails: The Honest, No-BS Data Podcast

The data landscape has evolved substantially over the last decade. We’ve gone from data lakes to data hubs to lake houses. We see data represented as documents, columns, graphs, and time series. So how might this evolution continue over the next ten years? To help us ponder this question, Juan and Tim are bringing in Emil Eifrem, CEO of Neo4j. We’ll take a look at how we got to this point, and what new data management challenges and opportunities await. This episode will feature: A look at database categories that may spring up over the next decade Positives and negatives of database standardization What’s changed the most about the hosts/guest over the past 10 years?

We’re back in the office. Now what? We roll into season two with a straightforward question: “Did we learn anything new about data work and data people during the pandemic?” Who better to address that subject than DJ Patil, mathematician, entrepreneur, and the very first U.S. Chief Data Scientist? Join Tim, Juan, and DJ for a wide-ranging conversation on data cultures, architectures, roles, and enduring lessons from the past 16-months of largely remote work. This episode will feature: Hot new job titles and emerging opportunities How to establish a new data culture built around hybrid work environments Favorite podcast, book, or show discovered during the Pandemic

*Corrected Audio* Data Architecture is evolving and there are many questions with various perspectives. What is the balance between centralization and decentralization? How do you start treating data as a product? How do you incentivize people? What’s the role of Data Mesh, Data Fabric, Knowledge Graphs? This special edition of Catalog and Cocktails is the Data Architecture panel from the Knowledge Graph Conference, moderated by Juan Sequeda. Listen and learn from Teresa Tung Chief Technologist of Accenture’s Cloud First group , Zhamak Dehghani director of emerging technologies at Thoughtworks and founder of Data Mesh concept, and Jay Yu, Distinguished Architect at Intuit. You can watch the panel here and follow Juan’s takeaways.

What’s the old saying? “The journey IS the destination.” What started as an experiment and a way to kick back with colleagues and peers on a video call, turned into a thriving, honest, no BS podcast about enterprise data management. Hosts Juan and Tim embarked on this journey that turned into a 50-episode series. The episodes boasted conversation topics spanning from identity graphs, modern data stacks, and building data teams, all the way to data lineage, data trust issues and learning what a CDO actually does. Our audience heard vulnerable and transparent talks from leaders at companies like AirBnB, McKinsey and Company, Wunderman Thompson and more. This season finale is a look back at season one and a candid talk about the lessons learned.

Business intelligence has come a long way since the early days of IBM’s decision support systems. Today BI is the backbone of many data-driven organizations, and companies often look to BI tools to help them make accurate predictions. In this episode, we take a look into the future of BI itself. Join Tim, Juan, and Ashley Kramer, the Chief Product Officer from Sisense, as they explore the intersection of BI, analytics, and artificial intelligence. Other topics include: How companies can take advantage of the convergence of BI and AI Separating AI reality from AI fiction What one thing would you want to know about your own future?

We always talk about managing metadata and data...but what about managing knowledge? It has to be more than keeping a spreadsheet of a business glossary! Join Tim, Juan, and Joe Hilger from Enterprise Knowledge for a conversation about how the data management and knowledge management communities need to unite in order to best manage your unstructured and structured data. Other topics include: How to best manage unstructured and structured data? Taxonomies, Knowledge Graphs: how does it fit? What is one piece of knowledge that you know NOW that you wish you knew when you were younger?

Classic Rock, historical paintings, and fine wine; some things are better left untouched. When it comes to your data stack however, that rule doesn’t apply. Having the right foundation- a mix of tools, people, and processes- is absolutely essential to getting value from your data. Join Juan, Tim, and Brandon Chen from FiveTran for a chat about letting go of your organization’s old tools and processes and welcoming in the new. Other topics include: Obvious signs that it's time to change your data architecture How to prevent your data stack from becoming another silo Classic TV shows worth modernizing and rebooting

Every maturing company hits a point where the processes and systems that once worked no longer scale. Don’t let this happen to your data organization. Join Juan, Tim, and this week’s guest, Meetesh Karia from The Zebra, while they live brainstorm about scaling data teams and processes. They’ll look at how the small seeds you plant along the journey can pay huge dividends later on. It all stems from the seeds you plant along the way; the people on your team, the balance of efficiency vs. resilience and the processes... Other topics include: How to strike a balance between efficiency and resilience Structuring teams for continued success If you could grow a garden of anything, what would it be? (Not the obvious; money)

Accelerating the delivery of data applications is at the top of the to-do list for many enterprises. That requires overcoming friction in your data architecture, managing complex requirements, and handling a variety of semantics challenges. Join Tim, Juan, and Chris Bergh from Data Kitchen for a conversation about DataOps. The trio will look at how this emerging data management methodology can improve the flow of knowledge within data teams. Other topics include: How to create the right DataOps culture Measuring the value of your DataOps strategy Worst reason you’ve been called into work on your day off

Mesh is everywhere. It’s in our clothes, our fishing nets, our Wifi networks, and now our data architecture. But what is a data mesh? Do you need one? And if so, how do you start? Zhamak Dehghani is the director of Emerging Technologies at Thoughtworks and the leading expert on data mesh. We’ll chat about the emergence of the data mesh as a concept, why the approach works for eliminating architectural silos, and how it's producing more data-driven cultures. Other topics include: Key tools, technologies, and skills for adopting a data mesh What to do if you’re data mesh curious Inspiring architectural designs outside the data space